Intrusion Detection Based on Fusing Deep Neural Networks and Transfer Learning.
Yingying XuZhi LiuYan-Miao LiYushuo ZhengHaixia HouMingcheng GaoYongsheng SongYang XinPublished in: IFTC (2019)
Keyphrases
- intrusion detection
- transfer learning
- neural network
- intrusion detection system
- learning tasks
- anomaly detection
- network security
- labeled data
- knowledge transfer
- network traffic
- active learning
- reinforcement learning
- semi supervised learning
- cross domain
- detecting anomalous
- machine learning
- high detection rate
- collaborative filtering
- data mining
- network intrusion detection
- multi task
- pattern recognition
- text categorization
- text classification
- learning algorithm
- unlabeled data
- text mining
- transfer knowledge
- alert correlation
- machine learning algorithms
- semi supervised
- databases
- database
- information systems
- training data
- data sets